Because a prototype isn't a product. No real data access. No auth. No way to share it safely. Retool surveyed 307 CTOs/CISOs: 93% worry about vibe-coded apps in production. Only 8% call their AI governance "strong." The gap between "look what I made" and "here, use it" is the
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AI rapid prototyping leads to UI dead end
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I prototyped this the way everyone builds now: described the app in a paragraph, let AI generate it.
— Linus ✦ Ekenstam (@LinusEkenstam) 17 juin 2026
10 minutes in, I had a working UI.
And that's exactly where most AI-built apps die. pic.twitter.com/S54KVXQ41ZI prototyped this the way everyone builds now: described the app in a paragraph, let AI generate it. 10 minutes in, I had a working UI. And that's exactly where most AI-built apps die.
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Example outputs from Midjourney, NBP, ChatGPT Image 2
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Example outputs,
Midjourney, NBP, ChatGPT Image 2. Full prompts in alt. -
Testing same prompt on 5 models using PromptDeck rewrites
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Same input: "a lighthouse keeper in a storm" First: raw prompt into all 5 models.
Output: PromptDeck's per-model rewrite. We're getting useful tips and explainers per model output. retool -

AI models each speak unique prompt languages
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Every AI model speaks a different language. Midjourney wants keywords + flags. Nano Banana Pro and ChatGPT Image 2 want full sentences. Seedance and Kling Omni want you to direct, not describe. Same idea, 5 dialects. Most people use one prompt for all of them, and wonder why
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One sentence yields 5 AI prompts, app shipped in a day with ReTool
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I typed one sentence.
— Linus ✦ Ekenstam (@LinusEkenstam) 17 juin 2026
I got back 5 production-grade prompts. One each for Midjourney, Nano Banana Pro, ChatGPT Image 2, Seedance 2 and Kling Omni.
Then I shipped the app behind it in a day.
Here's the full build with ReTool 🧵 pic.twitter.com/cxCjbpHU5BI typed one sentence. I got back 5 production-grade prompts. One each for Midjourney, Nano Banana Pro, ChatGPT Image 2, Seedance 2 and Kling Omni. Then I shipped the app behind it in a day. Here's the full build with ReTool
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6 AI tools to make money this month
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6 AI tools you can use to make money this month. Bookmark this: ChatGPT — writing & ad copy
Claude — ghostwriting
Canva AI — social posts & ads
ElevenLabs — voiceovers
Midjourney — art to sell
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Nitrosend Unveils AI-Native Email Platform
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Nitrosend has launched an AI-native email platform that users can run from within Codex, ChatGPT, Claude, Cursor, or any other MCP agent.
— 🚨 AI News | TestingCatalog (@testingcatalog) 17 juin 2026
It can create newsletters, transactional messages, and branching sequences, all in editable markup.
Vibe emailing 👀 https://t.co/Nn2hDlnJXR pic.twitter.com/SdL5n1V3LnNitrosend has launched an AI-native email platform that users can run from Codex, ChatGPT, Claude, Cursor, or any other MCP agent. It can generate newsletters, transactional messages, and branched sequences, all in editable markup.
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AI interfaces are not intuitive: teaching others reveals tricks and traps
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Anyone who thinks AI interfaces (chatbots, Codex, Code, NotebookLM, etc) are intuitive should spend some time explaining how to use them to three other people. I promise you will realize that there a dozen little tricks and traps to getting a good answer & that act as roadblocks.
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LangSmith LLM Gateway unifies detection, investigation, and remediation
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With LangSmith LLM Gateway, detection, investigation, and remediation take place on the same surface where agents are built.
Fewer tools
Fewer context switches
Policy events that arrive alongside the trace data that accompany them